Cargando…
RiboVIEW: a computational framework for visualization, quality control and statistical analysis of ribosome profiling data
Recently, newly developed ribosome profiling methods based on high-throughput sequencing of ribosome-protected mRNA footprints allow to study genome-wide translational changes in detail. However, computational analysis of the sequencing data still represents a bottleneck for many laboratories. Furth...
Autores principales: | Legrand, Carine, Tuorto, Francesca |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954398/ https://www.ncbi.nlm.nih.gov/pubmed/31777932 http://dx.doi.org/10.1093/nar/gkz1074 |
Ejemplares similares
-
Correction to ‘RiboVIEW: a computational framework for visualization, quality control and statistical analysis of ribosome profiling data’
por: Legrand, Carine, et al.
Publicado: (2022) -
riboSeed: leveraging prokaryotic genomic architecture to assemble across ribosomal regions
por: Waters, Nicholas R, et al.
Publicado: (2018) -
DeepRibo: a neural network for precise gene annotation of prokaryotes by combining ribosome profiling signal and binding site patterns
por: Clauwaert, Jim, et al.
Publicado: (2019) -
RiboAbacus: a model trained on polyribosome images predicts ribosome density and translational efficiency from mammalian transcriptomes
por: Lauria, Fabio, et al.
Publicado: (2015) -
RiboFR-Seq: a novel approach to linking 16S rRNA amplicon profiles to metagenomes
por: Zhang, Yanming, et al.
Publicado: (2016)